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Senior Data Scientist - Natural Language Processing

Date Posted
5th November 2016
Bonus + Benefits
£60,000 to £70,000 Per Annum
Contract Type

Senior Data Scientist - Natural Language Processing
Senior Data Scientist - NLP
Central London
£60,000 - £70,000 + bonus + benefits

The Harnham Data Science team is currently working with a leading firm based in central London who are investing heavily in their Data Science and Advanced Analytics division. Through natural language processing, our client can radically change their key approaches to maximise success.
You will be joining a company leading the way in predictive analytics in this sector, providing insights through advanced modelling which will be key to driving the firm's wider impact and decision making.

The Role - Senior Data Scientist

  • Be a hands-on expert in NLP, machine learning and recommendation systems.
  • Use expert knowledge of statistical methodologies and analysis to both lead & develop complex projects.
  • Act as an internal consultant, identifying opportunities and appropriate solutions, prioritising, influencing Senior Leadership and become a thought leader in data science.
  • Understand valuable new data opportunities, best practices, key definitions and work to prioritise and deliver improvements over each business area.

Your Experience - Senior Data Scientist

  • Experienced in programming in R, Python.
  • Expert knowledge of natural language processing.
  • An MSc or Ph.D. in a quantitative discipline (applied statistics, computer science or similar).
  • A passion for exploratory analysis and innovation.


As a Senior Data Scientist, you could earn £60,000 - £70,000 + bonus + benefits

How to Apply

To be considered for this exciting opportunity, please submit your details using the Apply button on this page. Or for more information regarding other roles please contact Harvey Gasson at Harnham.


Python, R, Scala, Spark, SQL, Hive, Impala, Hadoop, NoSQL, Tableau, Spotfire, D3, machine learning, statistics, statistical analysis, regression, propensity, customer, risk, credit, optimisation, segmentations, Data Scientist, Data Science, natural language processing, NLP, Computer vision, machine vision, bayesian, bayes.

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